Playwright MCP vs SeleniumBase MCP

Two MCP servers from our browser automation ranking, compared on live data - updated nightly, never sponsored.

Bottom line · 2026-09-18

Playwright MCP records significantly more monthly package installs (23,360,601 vs 2,076,176); both are actively maintained, with commits inside the last month.

How they differ in kind

Playwright MCP focuses on: A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. SeleniumBase MCP focuses on: All-in-one Browser Automation Framework: Web Crawling / Testing / Scraping / Stealth. Implementation languages differ (TypeScript vs Python).

What each one does

Playwright MCP

A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. This server enables LLMs to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or visually-tuned models. Its README documents 13 tools, including browser_click, browser_close, browser_console_messages.

From the project's README.

SeleniumBase MCP

All-in-one Browser Automation Framework: Web Crawling / Testing / Scraping / Stealth. It runs locally over stdio via the published package.

From the project's README.

14 signals, side by side

Signal Playwright MCP SeleniumBase MCP
Monthly installs 23,360,601 2,076,176
GitHub stars 37,231 13,024
Last commit 2026-09-17 2026-09-18
Releases · last 90 days 5 10+
In the registry since May 2026 Sep 2026
Registry versions 10 9
Documented tools 13 not extracted - see README
Env vars extracted none extracted - see README none extracted - see README
Runs local (stdio) local (stdio)
Endpoint auth local only local only
Maintenance actively maintained actively maintained
License Apache-2.0 MIT
Language TypeScript Python
Category rank #1 of 255 #3 of 255

What their tools cover

Extracted from each project's README - the tools each server hands your agent. A missing list means the README doesn't document one, not that no tools exist.

Playwright MCP 13 tools documented

  • browser_click - Perform click on a web page
  • browser_close - Close the page
  • browser_console_messages - Returns all console messages
  • browser_drag - Perform drag and drop between two elements
  • browser_drop - Drop files or MIME-typed data onto an element, as if dragged from…
  • browser_evaluate - Evaluate JavaScript expression on page or element
  • browser_file_upload - Upload one or multiple files
  • browser_fill_form - Fill multiple form fields

+5 more on the full page

SeleniumBase MCP no tool list in README

In the wild

Public posts about Playwright MCP or SeleniumBase MCP. Linked sources - not MCPhq reviews or ratings.

Which one, for what

Derived from the signals above, not hands-on testing.

Pick Playwright MCP if…

  • → you want the more widely installed option - 23,360,601 monthly installs vs 2,076,176
  • → you prefer a TypeScript codebase to extend or audit

Pick SeleniumBase MCP if…

  • → release velocity matters - 10+ releases in 90 days vs 5
  • → you prefer a Python codebase to extend or audit

Who's behind them

Playwright MCP - microsoft: 9 MCP servers tracked, 9 maintained, 44,340 combined stars. Full record.

SeleniumBase MCP - seleniumbase: 1 MCP server tracked, 1 maintained, 13,024 combined stars.

Not sold on either?

The next-ranked browser automation servers we track:

Quick answers

Is Playwright MCP better than SeleniumBase MCP?

Package installs favor Playwright MCP: 23,360,601 monthly installs to 2,076,176. SeleniumBase MCP still ranks #3 of 255 maintained browser automation servers. Data as of 2026-09-18; we haven't hands-on tested either.

Can I use Playwright MCP and SeleniumBase MCP together?

Yes - MCP clients accept multiple servers in one config, so you can enable both browser automation servers side by side. If their tools overlap, keep the one whose toolset fits to keep your agent's tool list lean.

Keep exploring: best browser automation servers · TypeScript servers · Python servers · all comparisons · every server

Methodology: package-usage signal = npm/PyPI installs (last month, platform APIs) · maintenance = commit recency + release cadence (GitHub) · tool lists and environment-variable names extracted from each project's README · endpoint auth from our own nightly probes. We haven't hand-tested these servers; everything here is data as of 2026-09-18.